Figure 5 | Scientific Reports

Figure 5

From: Prediction of oxygen requirement in patients with COVID-19 using a pre-trained chest radiograph xAI model: efficient development of auditable risk prediction models via a fine-tuning approach

Figure 5

CXR interpretation by our xAI model for a patient who presented with respiratory infection. (a) The interpretation table shows 5 comparable CXRs selected from the Model-Derived Atlas and prediction probabilities for labels associated with respiratory infection. (b) Prediction probability was ≥ 0.90 on the AI scoreboard for pneumonia and pleural effusion. (c,d) Pneumonia and pleural effusion were correctly localized by Grad-CAM, and similar CXRs and patches were selected from the Model-Derived Atlas. UMAPs show that the test patches were close to corresponding patches from the Model-Derived Atlas, which supports that the testing patches can be classified as “pneumonia” and “pleural effusion”, respectively.

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